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Formulation of distortion error for the line-of-sight (LOS) vector adjustment model and its role in restitution of SPOT imagery / Hyung-Sup Jung in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 6 (November - December 2008)

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 63 n° 6 (November - December 2008) . - pp 610 - 620 Titre : Formulation of distortion error for the line-of-sight (LOS) vector adjustment model and its role in restitution of SPOT imagery Type de document : Article/Communication Auteurs : Hyung-Sup Jung, Auteur ; J.S. Won, Auteur Année de publication : 2008 Article en page(s) : pp 610 - 620 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes descripteurs IGN] analyse comparative [Termes descripteurs IGN] capteur en peigne [Termes descripteurs IGN] erreur moyenne quadratique [Termes descripteurs IGN] image SPOT 5 [Termes descripteurs IGN] ligne de visée [Termes descripteurs IGN] modèle d'erreur [Termes descripteurs IGN] orbite [Termes descripteurs IGN] orbite précise Résumé : (Auteur) A recently developed line-of-sight (LOS) vector adjustment model is an effective geopositioning method for pushbroom images. A requirement for this method is that a predicted orbit be close to a true orbit. Although the method has proven very effective for SPOT 5, which has an accurate orbital control system, it was an open question whether or not the method could be effective for a satellite system with poor orbital accuracy. In this paper, a distortion error is defined and formulated as a common criterion for testing orbital requirements of a pushbroom system from the perspective of the LOS vector adjustment model. Using the distortion error, it is shown that a satellite system, even with poor locational accuracy comparable to SPOT 3–4, meets the orbital requirements as long as the maximum topographic height in the landscape is less than 4 km against the height level of the control points. A test was performed using three SPOT images and only five ground control points (GCPs). Results indicated that the root mean squared errors (RMSEs) of horizontal residual errors calculated from 30 check points were less than 10 m. The achieved accuracy of three-dimensional object-point determination was 6 m in the X-dimension and 7 m in both Y- and Z-dimensions. The conclusion can be drawn that the orbital requirements of this method can accommodate most space-borne systems, and therefore the LOS vector adjustment model is effective for SPOT and comparable pushbroom imagery. Copyright ISPRS Numéro de notice : A2008-434 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29503 [article]

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Extraction of ground control points (GCPs) from synthetic aperture radar images and SRTM DEM / S.H. Hong in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°18 - 19 - 20 (October 2006) . - pp 3813 - 3829 Titre : Extraction of ground control points (GCPs) from synthetic aperture radar images and SRTM DEM Type de document : Article/Communication Auteurs : S.H. Hong, Auteur ; Hyung-Sup Jung, Auteur ; J.S. Won, Auteur Année de publication : 2006 Article en page(s) : pp 3813 - 3829 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes descripteurs IGN] écart type [Termes descripteurs IGN] extraction [Termes descripteurs IGN] image ERS-SAR [Termes descripteurs IGN] image IRS [Termes descripteurs IGN] MNS SRTM [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] point d'appui [Termes descripteurs IGN] radargrammétrie Résumé : (Auteur) Qualified ground control points (GCPs) are crucial in the geolocation of a remotely sensed image. If a region has no published map, the geographical coordinates of GCPs must be obtained indirectly. Although these can be re-constructed from a synthetic aperture radar (SAR) image using sensor position and velocity, this conventional method does not provide accurate GCPs owing to the variable elevations of actual topography. We propose an inverse geolocation method for GCPs by SAR simulation. This improves the accuracy of extracted GCPs by accommodating topographic effects, and requires a high-resolution digital elevation model (DEM) and SAR with precise orbit data. The errors in the northing derive mainly from the imaging pulse time, and were improved by applying an azimuth time correction. In this study ERS SAR data with precise Delft orbit and shuttle radar topography mission (SRTM) DEM were used. Mean values for the planimetric distance error in the GCPs were 4.1 and 5.4 m with standard deviations of 10.6 and 16.9 m in northing and easting, respectively. The obtained GCPs were applied to an IRS image for geo-rectification, and the result was mean image positional errors of 3.6 and 2.7 m with standard deviations of 8.4 and 15.4 m in northing and easting, respectively. The root mean square errors are 9.0 and 15.3 m in northing and easting, respectively. Copyright Taylor & Francis Numéro de notice : A2006-457 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28181 [article]

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